Clinical R Programmer – Experienced Professional
(5+ Years Experience)
Overview:
We are looking for an experienced Clinical R Programmer in combination with SAS with 5+ years of combined experience in R & SAS within the clinical research or pharmaceutical industry. The ideal candidate should have expertise in developing and validating ADaM datasets, tables, listings, and figures (TLFs) using R, along with a strong understanding of CDISC standards, clinical trial data processing, and regulatory compliance.
Key Responsibilities:
R Programming Tasks:
- Develop and validate ADaM datasets, tables, and listings using R.
- Work with R data structures (matrices, vectors, lists, data frames) for dataset creation and manipulation.
- Implement date formatting, character functions, and missing value handling in R.
- Utilize industry-standard R packages:
- DPLYR, TIDYVERSE, HAVEN, ADMIRAL, LUBRIDATE, STRINGR – Data manipulation and analysis.
- GGPLOT2 – Advanced data visualization.
- Perform dataset validation and comparisons (equivalent to PROC COMPARE in SAS).
- Debug and optimize R programs for performance and accuracy.
- Familiarity with R Markdown and R-Shiny for reporting (optional but preferred).
Required Skills & Experience:
5+ years of combined experience in SAS and R programming in the clinical research or pharmaceutical domain.
Proficiency in R programming for clinical data processing and visualization.
Strong understanding of R packages (DPLYR, TIDYVERSE, HAVEN, etc.).
Knowledge of CDISC standards (SDTM, ADaM) and regulatory submission requirements.
Experience in debugging, dataset comparisons, and handling missing values in both R and SAS.
This role is perfect for professionals looking to leverage both SAS and R programming skills in clinical research, ensuring compliance with industry standards and regulatory requirements.
Send your Resume on hrd@kite-ai.com